
Competitive intelligence in P&C insurance is still slow, manual, and scattered across PDFs — and the gap between when a competitor files a rate change and when most carriers learn about it is measured in weeks rather than days. Agentic AI is collapsing that gap. A ZestyAI on-demand session shows how analysts, actuaries, product managers, and compliance leads are using Zorro Discover™, ZestyAI's purpose-built agentic AI for insurance, to surface competitor rate changes, coverage shifts, regulatory objections, and trend data in seconds rather than hours.
About this session. Real-Time Market Intelligence for P&C Carriers is a live walkthrough of how agentic AI is being applied to filing research and competitive analysis in P&C insurance. Hosted by Somayaji Ayalasomayajula, Product Manager at ZestyAI, and Sam Fetchero, Head of Marketing.
Prefer to watch instead? Access the full on-demand session → — includes a live Zorro Discover walkthrough and early-customer reactions.
Because the source material is unstructured. Filing data lives across SERFF, state DOI portals, and individual carrier submissions — in PDFs, rate manuals, rule pages, exhibits, and objection responses. Each filing is a multi-document package that has to be retrieved, opened, read, and synthesized to answer even simple questions: What did Carrier X change in their roof endorsement? How did the regulator respond to the wildfire surcharge? Which carriers added telematics factors in the last cycle? Multiply that across every competitor, every state, and every filing cycle, and the workflow becomes the bottleneck. Most teams cope by sampling — tracking a few competitors closely and missing everything else.
The result is a structural latency problem. By the time the relevant insight reaches the product or pricing team, the market has often already moved.
Agentic AI for insurance competitive intelligence is AI built to autonomously search, interpret, and synthesize regulatory filings — including rate manuals, rule pages, forms, exhibits, and objection cycles — and return specific answers about competitor behavior, regulatory trends, or filing strategy without requiring an analyst to manually retrieve and parse the underlying documents.
What separates it from general-purpose AI is grounding. Agentic AI for insurance is constrained to insurance-specific source material (every public P&C filing, in Zorro Discover's case), optimized for insurance language and structure (rate manuals, rule pages, statutes, actuarial guidance), and built to preserve filing structure during retrieval so tables, exhibits, and multi-document packages can be reconstructed during analysis.
The practical effect: research that used to take a competitive intelligence analyst hours or days returns in seconds, with citations back into the source filings.
The patterns that show up most often in real use:
The session is designed for analysts, actuaries, product managers, compliance leads, and underwriting strategy teams — the people whose decisions depend on knowing what competitors and regulators are actually doing right now. The bigger shift it points to: competitive intelligence is becoming less about who has the most analysts manually reading filings, and more about which carriers can route filing intelligence directly into the hands of the people making product and pricing decisions. Speed-to-insight is increasingly the moat.
Real-Time Market Intelligence for P&C Carriers →
See how analysts, actuaries, and product strategy teams are using Zorro Discover™ to track competitor filings, coverage shifts, and regulatory objections in real time — and what early users are saying about the workflow change.
Watch the on-demand session — or request a trial of Zorro Discover to run the same analysis against your own competitive set.